Yabit Alas

Developing online learning resources: Big data, social networks, and cloud computing to support pervasive knowledge

Utilizing online learning resources (OLR) from multi channels in learning activities promise extended benefits from traditional based learning-centred to a collaborative based learning-centred that emphasises pervasive learning anywhere and anytime. While compiling big data, cloud computing, and semantic web into OLR offer a broader spectrum of pervasive knowledge acquisition to enrich users’ experience in learning. In conventional learning practices, a student is perceived as a recipient of information and knowledge. However, nowadays students are empowered to involve in learning processes that play an active role in creating, extracting, and improving OLR collaborative learning platform and knowledge sharing as well as distributing. Researchers have employed contents analysis for reviewing literatures in peer-reviewed journals and interviews with the teachers who utilize OLR. In fact, researchers propose pervasive knowledge can address the need of integrating technologies like cloud computing, big data, Web 2.0, and Semantic Web. Pervasive knowledge redefines value added, variety, volume, and velocity of OLR, which is flexible in terms of resources adoption, knowledge acquisition, and technological implementation.

Smartphone habit and behavior in Brunei: Personalization, gender, and generation gap

A smartphone is a device which offers advanced technologies, functions similarly to a computer, supports multitasking and makes it easy to remain connected with others. The following survey design research examined the usage patterns of smartphone users across different demographics. The results of this study provide insights into the prevalence of respondents usage of smartphones and their habits and behavior related to smartphone use itself especially among the younger generation of social disorders such as nomophobia and phubbing. In addition to documenting the experience of smartphone users, the research also examines personality patterns related to smartphone usage, the trends of different age groups, and the effects of gender preferences. We investigate behavioral patterns and impacts of smartphone usage.We discuss personal challenges of mental disorder due to smartphones addiction.Smartphones addiction habit is leaning more towards the younger generation.Gender is considered to be statistically significant in term of smartphones habit.A positive relationship between accessing the internet and messaging activity.

Online Learning: trends, issues and challenges in the Big Data Era

Nowadays, many students access online resources using their mobile devices, substituting this for traditional learning interactions. However, the new concept of ‘big data’ in recent ICT discussions extends the promising research direction on online learning and big data integration. Big data promises content that can be tailored for each student based on the context and Internet behaviour of users in online learning. This study examines recent Internet activities and literacy in Brunei Darussalam (Brunei) relating to the Internet behaviour and online learning of residents. The study highlights milestones in terms of recent issues, challenges, and trends in Internet activities, focusing on online learning and its potential in the big data era. An extensive nationwide survey was conducted to ensure the reliability of the data. The survey revealed that people in Brunei expect and demand better learning services and experiences through an online learning system to improve literacy as well as the quality and ef ciency of learning. Regardless of the limitations of the survey, the general public has shown great support for online learning systems. The results of the survey provide a solid argument for further research on big data in online learning by developing a framework incorporating the expectations of the people. Finally, the study provides a baseline for future studies of Internet adoption in Brunei.

Making Sense of Inter and Intraregional Mobility in Southeast Asia

Migration has no respect for either borders or boundaries. Although the title of this volume is ‘International Migration in Southeast Asia ,’ the movements of people have occurred and continue to be within the region, between regions in Asia, and across the North-South divide. The region is home to some of the largest labor surplus countries, namely the Philippines, Indonesia, Vietnam, and Myanmar. Research on contemporary migration in Asia are dominated by the view that migration is an economically driven phenomenon; hence, the overwhelming interest in labor migration. However, if migration is regarded as more than an economic phenomenon, then we can appreciate how incredibly diverse it is as a human and social experience. When we do capture the diversity of such migration trajectories within the interstices of conventional flows of people recognized by the state and mainstream scholarship, we can see how the experience of migration can be treated in a novel way.